Assessing Departmental Efficiency at Sepuluh Nopember Institute of Technology: A Comparative Study Using Classical and Advanced Data Envelopment Analysis

As the significance of sustainable development continues to grow, particularly in the field of education, it becomes imperative to evaluate the effective utilization of resources by universities. Efficiency plays a pivotal role in enabling organizations to optimize their resource allocation and achieve optimal outcomes. In this study, we employ data envelopment analysis (DEA) to assess the efficiency of 38 departments at Sepuluh Nopember Institute of Technology Surabaya or ITS. We examine three distinct approaches: teaching and learning, research and development, and an overarching overall performance assessment. Our analysis employs both classical and advanced models, incorporating four input and five output variables. The findings consistently indicate that the Department of Instrumentation Engineering excels in efficiency, regardless of the chosen approach or DEA model. This underscores its role as an exemplar for less efficient departments, offering valuable insights for improvement, and aiding university administrators in setting ambitious objectives. Notably, a substantial portion of ITS's departments were identified as inefficient for research and development scheme. Therefore, it is imperative for the university to concentrate on enhancing departmental productivity through initiatives such as workshops and training programs.